A comparison of testing procedures for least absolute
deviation regression

by Moawad El-Fallah Abd El -Sallam.

Abstract:
In this paper, we compare three procedures for assessing the significance of coefficients in least absolute deviation (LAD) multiple regression. The three test procedures studied are the Wald, likelihood ratio (LR), and Lagrange multiplier (LM) tests. Empirical levels are compared based on Monte Carlo simulation. This paper extends previous studies that concentrated only on simple regression. Further, the performance of overall goodness – of fit tests for multiple regression is also examined. The results of the study suggest that the LR and LM tests are preferable to the Wald test for this situation.